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JMLR
2008
188views more  JMLR 2008»
8 years 10 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
JMLR
2008
144views more  JMLR 2008»
8 years 10 months ago
Search for Additive Nonlinear Time Series Causal Models
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
Tianjiao Chu, Clark Glymour
JMLR
2008
95views more  JMLR 2008»
8 years 10 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer
JMLR
2008
151views more  JMLR 2008»
8 years 10 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
JMLR
2008
148views more  JMLR 2008»
8 years 10 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
JMLR
2008
107views more  JMLR 2008»
8 years 10 months ago
A Library for Locally Weighted Projection Regression
In this paper we introduce an improved implementation of locally weighted projection regression (LWPR), a supervised learning algorithm that is capable of handling high-dimensiona...
Stefan Klanke, Sethu Vijayakumar, Stefan Schaal
JMLR
2008
137views more  JMLR 2008»
8 years 10 months ago
Online Learning of Complex Prediction Problems Using Simultaneous Projections
We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
JMLR
2008
141views more  JMLR 2008»
8 years 10 months ago
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
In graphical modelling, a bi-directed graph encodes marginal independences among random variables that are identified with the vertices of the graph. We show how to transform a bi...
Mathias Drton, Thomas S. Richardson
JMLR
2008
80views more  JMLR 2008»
8 years 10 months ago
An Information Criterion for Variable Selection in Support Vector Machines
Gerda Claeskens, Christophe Croux, Johan Van Kerck...
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